Staff Data Scientist, Ads

Reddit's Ads Data Science team is seeking a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. As a Staff Data Scientist, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

Responsibilities:

• Design the future of ads identity: develop and employ probabilistic models for identity resolution, and design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance lift methodologies and experimentation: own the statistical rigor behind Reddit's Brand and Conversion Lift products, innovate experimental design, and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize signal for predictive performance: define the strategy for new signal sources, mathematically quantify the value of these signals, and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define ground truth and evaluation frameworks: solve the industry-wide challenge of validating identity and measurement, and design the objective functions and truth sets used to train models and measure the incremental impact of the identity graph.
• Lead through cross-functional and technical influence: collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution.

Qualifications:

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research.
• For M.S. holders: 10+ years of industry experience in applied science or data science roles.
• For Ph.D. holders: 6+ years of industry experience in applied science or data science roles.
• Deep understanding of the ads ecosystem.
• Demonstrated expertise in at least one of the following areas: Measurement & Experimentation at Scale, Identity Graph Creation & Resolution Methodology and Infrastructure, Predictive Modeling with Signal Loss.
• Advanced proficiency in statistical programming (Python or R) and SQL.
• Experience with machine learning or optimization techniques.
• Strong understanding of experimental design, causal inference, or A/B testing methodologies.
• Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners.
• Experience working in fast-paced, ambiguous environments with cross-functional teams.

Benefits:

• Global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Comprehensive medical benefits and health care spending account.
• Registered retirement savings plan with matching contributions.
• Income replacement programs.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.